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Research Fellow in Cloud Modelling Salary: Grade 7 (£41,064 – £48,822p.a. depending on experience) This role will be based on the university campus, with scope for it to be undertaken in a hybrid
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Are you keen to support innovation of UK weather forecasting? Do you have an established background in cloud physics research? Would you like to further your career in a world-leading atmospheric
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expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge
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papers in peer-reviewed Journals are key to the role. You will be responsible for: Design and implement full stack battery intelligence platforms, including: Cloud infrastructure (AWS/Azure/GCP), Backend
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packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud
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building energy models. The role will focus on participating in the development and implementation strategy of a cloud AI-based framework to perform business valuation. Key Responsibilities: Develop new CFD
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, or equivalent PPLs. • Strong track record of publications in peer-reviewed journals commensurate with career stage. • Proficiency in Python and/or R; familiarity with high-performance and cloud computing
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AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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, such as atmospheric composition, and/or 2) Experience in forward models, which can take many different forms (e.g. climate, chemistry, cloud), as well as levels in complexity (e.g. 1D to 3D). However, we